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Data Platform Engineer - NN

Location: Rotterdam
Salary: € 3157 - € 5248 a month
Employment: Full-time
Together with your colleagues, you will maintain and expand the platform. You will mainly focus on the infrastructure and automating and improving the deployment process.

NN is in the process of becoming a data-driven organization. As a Data Platform Engineer, you will help NN with your combined skills in data engineering and DevOps. You are crucial in the development and automation process of our new data platform and use the latest technologies and tooling for this purpose. Together with your fellow engineers, you build new functionalities every day to provide our customers with optimal service.

The salary for this position ranges from €3,157 to €5,248, depending on your knowledge and experience. This is based on a 36-hour workweek, excluding a 13th month and holiday pay.

Your impact as Data Platform Engineer

Together with your colleagues, you will maintain and expand the platform. You will mainly focus on the infrastructure and automating and improving the deployment process. Azure will be your best friend in this process. Additionally, users such as data modelers and data scientists will regularly come up with interesting questions. By developing, introducing and automating new components, you provide a solution. You also look at how colleagues can extract the data from the platform as easily as possible. This makes the work of your colleagues a lot easier.

The Life & Pensions Data Platform (LPDAP) requires continuous improvement and expansion. For this purpose, we use the latest Microsoft technology, such as Azure Data Factory and Azure Databricks. You will also work extensively with Azure DevOps and Git. Programming will mainly be done in Python, Terraform, and PowerShell.

What you will do

  • Further set up, improve, secure, and automate the entire CI/CD process
  • Coach team members in DevOps engineering, CI/CD, SDLC, etc.
  • Collaborate with fellow data engineers for new data access

Who you will work with

You will be part of a team of four engineers, each with their own specialty. Additionally, you will work closely with the Product Owner and data architect. We are always striving to improve ourselves and bring out the best in each other. To do this, we communicate with each other regularly so that we can get to know each other and understand how to bring out the best in each other. We go through the workweek using Scrum, with a daily stand-up, bi-weekly review and retrospective. And our collaboration doesn't stop there. We are always available to share knowledge and answer questions. You can truly count on your colleagues.

What you bring

Your analytical insight comes into its own here: you can sink your teeth into complex problems and come up with solutions. You don't shy away from asking questions to gain insights into what's going on and you dive into the platform with a critical eye. At the same time, you keep up to date with all developments within the infrastructure and other areas of your field. Additionally, you have:

  • A significant knowledge of Azure. Azure certifications such as AZ104 or AZ400 are a big plus
  • Experience with programming in Python, Terraform, and Powershell/Bash
  • Experience with networking, security, and identity & access management, as well as extensive knowledge of data engineering tools and best practices
  • Experience with Azure Databricks, PySpark, and Azure Data Factory is a plus
  • Serious steps taken in building a data platform, an "automation-first" mentality, and enthusiasm for sharing knowledge with colleagues
  • At least B1 level of English, fluent Dutch is a plus

Continue developing

Continued development is important to us. We give you the space and trust to grow in your career and as a person. We help you with:

  • Plenty of training and development opportunities in our Learning & Development Centre
  • A large (international) network of colleagues who are happy to share their knowledge with you
  • The autonomy to determine your own development route
  • Employment conditions that suit you

What we offer you

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

  • Salary between €3,157 to €5,248, depending on your knowledge and experience
  • 13th month and holiday allowance are paid with your monthly salary
  • 27 vacation days for a 5-day working week and one Diversity Day
  • A modern pension administered by BeFrank
  • Plenty of training and learning opportunities
  • NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled
  • Allowances for setting up your home office and for internet use

We work hybrid at NN. Together with your team, you decide where, how and when you work. The official location of this job is Rotterdam.

Will you be our new colleague?

Are you enthusiastic about this vacancy and do you think you fit well in the team and at NN? Then we invite you to apply. We are very curious about who you are, what motivates you, and what you can contribute in this position at NN.

Apply now!

For questions about the procedure, you can contact Ties Herpers (Sr Recruiter Tech & Data) via 06 17 33 63 28.

This is a permanent position. A candidate will receive a contract from NN, and we are not open to interim/freelance assignments and/or candidates or acquisition by agencies. Thank you in advance for your understanding.



Information and application:


Please send your application for Data Platform Engineer at NN in Rotterdam including your CV via our website.

Job code:


Job posted

28 mei 2023
Apply Now

More information:

For questions about the procedure, you can contact Ties Herpers (Sr Recruiter Tech & Data).

Ties Herpers
Recruiter Tech & Data
m. 06 17 336 328

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Carrière als Big Data specialist

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